ISE students showcase research-projects at GEORG Workshop

Keith Smithson, Cari Covell and Dagur Helgason present the current state of their projects


REYKJAVIK, November 28 -  At the first Geothermal Research Group (GEORG) Geothermal Workshop , held in Reykjavík on 24/25 November 2016, three former or current ISE students, and members of the Geothermal Operations Research Group at ISE, were given the chance to present their research projects to the geothermal community, scientific experts, and industry leaders.

GEORG is a cluster initiative founded in Iceland in 2009 with the aim to create a platform for industry and academic parties to join forces. 22 partners, including the largest players in education, research organization and industry active in the Icelandic geothermal sector, come together with the intention to strengthen research and development and foster innovation in the geothermal energy field. The Geothermal Workshop was held to highlight both achievements from GEORG's initiatives and give an outlook on upcoming projects and new innovations in the geothermal sector. As part of this outlook, Cari Covell's, Dagur Helgason's and Keith Smithson's projects had been selected to be featured in the poster session in between lectures and discussions.

Cari Covell at GEORG 2016Cari Covell, an ISE student who is now pursuing her PhD at Reykjavik University, presented her PhD research focused on machine learning and data fusion for geothermal reservoir characterization. By utilizing a machine learning methodology to the hydrothermal characterization process, she aims to produce more accurate and reliable models of geothermal reservoirs. The project aims to combine exploration stage data with production data from existing wells to determine well connectivity, fracture orientation and system temperature. This methodology potentially can be used to make predictions for future well performance in different locations allows for better decision making in the selection of new drilling locations.

Dagur Helgason at GEORG 2016Second year ISE MSc Sustainable Energy Engineering Dagur Helgason presented his MSc thesis project with the declared aim to optimize the well placement process. Dagur aims to reduce the reliance on qualitative assessments which are traditionally needed for finding optimal drilling locations in geothermal projects by introducing a more reliable economic quantification method. To achieve this, he is developing an algorithm utilizing the PyTOUGH extension to simulate all possible well locations in a given TOUGH2 model and provide an expected economic assessment of each location as final result.

Keith Smithson at GEORG 2016Fellow second year ISE MSc Sustainable Energy Engineering Keith Smithson presented the state of his MSc thesis which aims to determine the reliability of geophysical exploration data. In his project, an optimization algorithm combined with machine learning methodology is applied to the problem of verifying the subsurface conditions from magnetotelluric (MT) measurements. Many possible solutions models are then created and given a probability of likelihood assessing their fit for describing the conditions at a certain depth. By testing these models with real-world observations through actual down-hole data, a reliability of the MT measurement allowing correct conclusions on the actual conditions is provided. Keith intends to make this algorithm applicable for assessing reliability of all forms of geophysical exploration data.

Alongside the students, several of ISE affiliated academics and industry experts participated in the GEORG workshop 2016.

>> Read more about other ISE affiliates at the GEORG geothermal workshop 2016

>> Read more about Cari Covell's path after graduating from ISE


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